M.S. in Healthcare Technology
The STEM-designated M.S. in Healthcare Technology program at Clark University offers a ...
M.S. in Data Analytics
Worcester, Massachusetts
INTAKE: Jan & Aug
Program Overview
The STEM-designated M.S. in Data Analytics program at Clark University offers a rigorous and interdisciplinary curriculum meticulously designed to equip students with the advanced statistical, computational, and domain-specific knowledge essential for success in the rapidly growing field of data science. Recognizing the transformative power of data in today's world, the program emphasizes a strong foundation in data mining, machine learning, statistical modeling, and data visualization, while also fostering critical thinking and effective communication of data-driven insights. The STEM designation underscores the program's focus on science, technology, engineering, and mathematics, ensuring graduates possess the analytical and quantitative skills highly valued by employers across various industries.
STEM Designated: As a STEM-designated program, the M.S. in Data Analytics at Clark University emphasizes a strong, science-based approach to understanding and extracting knowledge from data. This designation highlights the program's commitment to providing a curriculum grounded in statistical theory, computational methods, and mathematical principles, preparing graduates for technically demanding roles in data analysis and data science.
Curriculum: The curriculum is thoughtfully structured to provide a comprehensive understanding of the data analytics lifecycle. Core coursework typically includes statistical inference, regression analysis, machine learning algorithms, data mining techniques, data visualization, and database management. Students can further specialize their knowledge through elective courses focusing on areas such as big data analytics, time series analysis, natural language processing, and specific industry applications of data analytics. The program integrates hands-on experience through statistical software packages, programming languages like Python and R, and real-world case studies and projects to solidify theoretical understanding and develop practical analytical skills.
Research Focus: The research focus within the M.S. in Data Analytics program at Clark University is often dynamic and aligned with current challenges and advancements in the field. Faculty and students may engage in research projects related to areas such as predictive modeling, causal inference, deep learning applications, analysis of unstructured data, ethical considerations in data science, and the development of novel data analysis methodologies. The program encourages students to participate in research initiatives, fostering critical thinking and contributing to the evolving body of knowledge in data analytics.
Industry Engagement: Clark University actively fosters connections with various industries to provide M.S. in Data Analytics students with valuable real-world exposure and career opportunities. This engagement often includes guest lectures from data science professionals, opportunities for internships at data-driven companies and organizations, participation in data science competitions and workshops, and collaborative projects with industry partners. These interactions provide students with practical insights into current industry practices, allow them to network with potential employers, and ensure the curriculum remains relevant to the demands of the rapidly evolving data analytics job market.
Global Perspective: While not explicitly detailed as a separate program component, the field of data analytics is inherently global, with data being generated and analyzed across international borders and within multinational organizations. Clark University's diverse international student body and its broader commitment to global education contribute to an environment where students are exposed to different perspectives and can develop an understanding of the global implications of data analysis. The skills and knowledge acquired in the program are highly transferable and applicable in data analytics roles across various international contexts and industries.
Location
Worcester, Massachusetts
Score
IELTS 6.5
Tuition Fee
USD 20000
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 85 or higher.
- PTE: Overall score of 61 or higher.
- DET (Duolingo English Test): Minimum score of 120.
Clark University in Worcester, Massachusetts, United States, offers a variety of scholarship opportunities specifically designed to support international students in pursuing their academic goals. Recognizing the financial challenges that many international students face, Clark is providing merit-based and need-based financial aid to attract talented and motivated students from around the globe.
Merit-Based Scholarships: Clark University awards several merit scholarships to international students based on academic excellence, leadership qualities, and other achievements. These scholarships vary in amount and can significantly reduce tuition costs. The university’s recognizing outstanding international applicants ensures that many students receive financial assistance during the admissions process.
Need-Based Financial Aid: Although international students are generally expected to demonstrate the ability to finance their education, Clark does offer limited need-based aid to international applicants who demonstrate exceptional financial need. Students are encouraged to apply early and provide all required financial documentation to be considered.
Clark University International Scholarship: One of the prominent awards for international students is the Clark University International Scholarship, which is granted to highly qualified students to help offset the cost of tuition. This scholarship is competitive and requires strong academic records along with a contributing to the campus community.
Graduate Assistantships and Fellowships: Graduate international students at Clark can apply for assistantships and fellowships, which provide tuition remission and a stipend in exchange for teaching, research, or administrative work. These opportunities not only help financially but also offer valuable professional experience in the students’ field of study.
External Scholarships and Funding: Clark encourages international students to seek external scholarships and funding sources from governments, private organizations, and international foundations.
Graduates of the M.S. in Data Analytics program at Clark University possess a versatile and in-demand skillset, opening doors to a multitude of exciting and impactful career opportunities across various sectors.
Data Scientist: Designing and implementing advanced statistical and machine learning models to analyze complex datasets, extract meaningful insights, and build predictive systems.
Data Analyst: Collecting, cleaning, and analyzing data to identify trends, patterns, and correlations, and presenting findings in clear and actionable formats to inform business decisions.
Business Intelligence Analyst: Utilizing data analysis tools and techniques to identify business trends, create insightful reports and dashboards, and provide recommendations to improve organizational performance.
Machine Learning Engineer: Developing, deploying, and maintaining machine learning models and algorithms for various applications, such as natural language processing, computer vision, and recommendation systems.
Marketing Analyst: Analyzing marketing data to understand customer behavior, optimize marketing campaigns, and improve customer acquisition and retention strategies.
Financial Analyst: Applying data analysis and statistical modeling to financial data to forecast trends, assess risk, and inform investment decisions.
Healthcare Data Analyst: Analyzing healthcare data to improve patient outcomes, optimize healthcare delivery, and identify trends in disease patterns and treatment effectiveness.
Operations Research Analyst: Using mathematical modeling and optimization techniques to improve efficiency and effectiveness in operational processes across various industries.
Data Engineer: Building and maintaining the infrastructure and systems needed to collect, store, process, and analyze large datasets.
Data Visualization Specialist: Creating compelling and informative visual representations of data to communicate complex insights effectively to both technical and non-technical audiences.
